LipidMatch Normalizer

LipidMatch Normalizer (LMN) can be used to perform relative quantification for lipidomics using class specific lipid standards and LC-MS data. The user provides a feature table containing all the annotated lipids and their respective m/z values, retention time, and intensities across samples. The feature table format is flexible, and hence LMN can be integrated with any lipid identification and feature finding software. LMN automatically selects internal standards that represent similar lipid structure to the target lipids and takes into account signal suppression effects in liquid chromatography mass spectrometry, prioritizing a match of lipid class, adduct, and retention time, respectively. If multiple internal standards are provided for a particular lipid class, internal standards with the closest retention time to the target analyte will be chosen.

SECIM, the Southeast Center for Integrated Metabolomics, is funded in part by the UF CTSI, which in turn is funded in part by the National Institutes of Health Clinical and Translational Science Award program, grants UL1 TR000064, KL2 TR000065 and TL1 TR000066. The CTSA program is led by the NIH’s National Center for Advancing Translational Sciences. The content of this website is solely the responsibility of SECIM and does not necessarily represent the official views of the NIH.